Distributed Inference with Deep Learning Models across Heterogeneous Edge Devices

Author:

Hu Chenghao1,Li Baochun1

Affiliation:

1. University of Toronto,Department of Electrical and Computer Engineering

Publisher

IEEE

Cited by 30 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DIDS: A distributed inference framework with dynamic scheduling capability;Future Generation Computer Systems;2025-01

2. Murmuration: On-the-fly DNN Adaptation for SLO-Aware Distributed Inference in Dynamic Edge Environments;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12

3. When the Edge Meets Transformers: Distributed Inference with Transformer Models;2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS);2024-07-23

4. Researching the CNN Collaborative Inference Mechanism for Heterogeneous Edge Devices;Sensors;2024-06-27

5. ChainNet: A Customized Graph Neural Network Model for Loss-Aware Edge AI Service Deployment;2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN);2024-06-24

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